1- Provide a strategic plan to develop and expand data management capabilities by adopting new technologies and exploiting future opportunities.
2- Ensure the used data quality and accuracy in the project, including ensuring that the data is up-to-date, complete, and reliable, contributing to making accurate and effective decisions.
3- Collect data from multiple sources and unify it in a central data warehouse, facilitating access to information and reducing data errors.
4- Ensure data security and protect it through strong security measures such as data encryption and access control, ensuring data protection from breaches and unauthorized access.
5- Ensure that data management complies with data protection laws and regulations such as SDAIA and the National Data Management Office, reducing legal liability and penalty risks.
6- Encourage cooperation between different departments and units within the project to ensure high coordination of all aspects of data management.
7- Improving data management processes can lead to increased efficiency and reduced costs associated with collecting, storing, and maintaining data.
8- Ensure easy and effective access for users to the required data.
9- Identify key performance indicators and provide periodic reports on data management performance, ensuring continuous improvement and achieving the specified goals.
10- Provide advanced data analytics tools enabling stakeholders to make strategic decisions based on accurate data analysis.
11- Develop systems, policies, standards, and controls for data management and personal data protection at the university level.